Course curriculum

  • 1

    Welcome to the course!

  • 2

    Module 1

    • Segment 01: Workshop Overview
    • Segment 02: HIVE
    • Segment 03: Hive Databases
    • Segment 04: Lab - Hive Billing and Partitions
    • Segment 05: Joins
    • Segment 06: Sentiment Analysis
    • Segment 07: Hive Has Changed A Lot
  • 3

    Module 2

    • Segment 08: Introduction To Spark
    • Segment 09: Spark Structure and Case Studies
    • Segment 10: Spark Is A Better Fit For Iterative Workloads
    • Segment 11: Spark: Hadoop Spark Solutions
    • Segment 12: Spark Data Model Evolution: Dataframes
    • Segment 13: Creating A DataFrame From JSON(Scala)
    • Segment 14: Querying of A DataFrame Using DSL (Scala) I
    • Segment 15: Querying Of A DataFrame Using DSL (Scala) Ii
  • 4

    Module 3

    • Segment 16: Spark SQL
    • Segment 17: Dataset
    • Segment 18: Spark and Hive
    • Segment 19: Data Formats
    • Segment 20: Lab: Data Formats
    • Segment 21: NoSQL I
    • Segment 22: NoSQL II
    • Segment 23: Amazon Redshift
    • Segment 24: Google Cloud Platform (GCP)
    • Segment 25: Microsoft Azure Data Lake
  • 5

    Final Exam

    • Final Examination